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pfc-mcp

Connector Development Usable
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Usable Scanned — metadata only

Eliminates friction in DEM simulation workflows by enabling engineers to configure and execute complex particle flow simulations via conversational AI rather…

MCP server that connects AI agents to ITASCA's numerical modeling software — PFC, FLAC, 3DEC, MPoint, and MassFlow. Claude can browse engine documentation, run DEM simulations, and execute code through natural conversation, picking the engine via a software parameter. Documentation tools work standalone; running simulations requires a bridge script (addon.py) started inside the ITASCA engine GUI. Formerly published as pfc-mcp.

150 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates friction in DEM simulation workflows by enabling engineers to configure and execute complex particle flow simulations via conversational AI rather than manual parameter entry, reducing iteration time and lowering barriers for non-experts.

Geotechnical and mining engineers running routine PFC simulations who need faster iteration cycles and lower technical overhead.

Claude Code Claude Cowork Claude Chat

https://github.com/yusong652/itasca-mcp

By yusong652

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add itasca-mcp -- uvx itasca-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

Once it’s connected, paste this into Claude:

Set up and run particle flow simulations without writing PFC code directly
PrerequisitesAn ITASCA engine installed (PFC, FLAC, 3DEC, MPoint, or MassFlow; 9.0+ recommended, PFC 6.0/7.0 and FLAC 7.0 supported). uv installed (for uvx). Python 3.10+.CostFree

Trust Signals Auto-scanned

Stars150Contributors4Last updated2026-08-09LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 68 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 68 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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